Hash-based Deduplication

Hash-Based Deduplication is a data deduplication method that identifies duplicate data segments by computing and comparing cryptographic hash values, distinguishing itself from other deduplication techniques through its reliance on hash functions to enable efficient content-based chunk comparison.

40

Publications

1.5K

Citations

133

Authors

64

Institutions

Publications per year

2017–2026

19

Authors

133

  1. DM
    Dirk Meister

    Johannes Gutenberg University Mainz, Germany

    3 publications · 221 citations

    3

    h-index

  2. AB
    André Brinkmann

    Johannes Gutenberg University Mainz, Germany

    3 publications · 221 citations

    3

    h-index

  3. JK
    Jürgen Kaiser

    Johannes Gutenberg University Mainz, Germany

    3 publications · 221 citations

    3

    h-index

  4. YH
    Yu Hua

    Huazhong University of Science and Technology, China

    3 publications · 146 citations

    3

    h-index

  5. HJ
    Hong Jiang

    University of Nebraska–Lincoln, United States

    3 publications · 146 citations

    3

    h-index

1–5 of 133

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 2 publications · 95 citations

    2

    h-index

  2. Information Processing Letters

    1 publications · 12 citations

    1

    h-index

  3. 1

    h-index

  4. Security and Communication Networks

    1 publications · 32 citations

    1

    h-index

  5. ACM Transactions on Storage

    TOS · 1 publications · 96 citations

    1

    h-index

1–5